"Making things simple is hard," he responded. "EnterpriseWeb is based on a high-level software abstraction. Many folks in IT, Networking and even Computer Science are highly-specialized and don't pursue end-to-end solutions. Also, keep in mind that middleware vendors make a lot of money on the status quo." Dave concludes, "Cloud, Internet-of-Things, Network and System integration are all fundamentally distributed computing problems.
The US Securities and Exchange Commission (SEC), which regulates public company securities, recently proposed its own climate impact reporting requirement. Many US public companies already voluntarily publish information on this topic for shareholders who have been asking for those details. But various state GOP attorneys general are already questioning the SEC's ability to impose the requirement, asserting that such a requirement lacks materiality. So there's a distinct possibility the SEC's proposal will get tied up in litigation, at least for now. Back in September 2021, Addisu Lashitew, nonresident fellow, global economy and development at The Brookings Institution, characterized the US stance on the climate impact reporting issue as laissez faire.
How do you transform your enterprise from being data-incompetent to data-driven? How do you incorporate and leverage your legacy data assets with your latest Big Data assets? How do you successfully implement Data Quality, Data Governance, and Master Data Management into your existing business and IT structures without causing undue chaos or friction? How do you consume 64 pounds of candy in five and a half days? Such thought-provoking, data-centric, and sugar-infused questions were only a few of the countless that were asked, pondered, examined, tested, queried, joined, updated, and ultimately answered (and eaten) during the DATAVERSITY Enterprise Data World (EDW) 2016 Conference.
Conventional thinking says that one needs to know coding or be an engineer to create an application. "I am an engineer and many like me don't want to do repetitive codes like Facebook login. We have to utilise engineers to do the important things--like the logic and flow of an application and actually thinking through a customer's problem," he explains. When an app needs to be designed, the majority of it is done in the first couple of hours by the AI on his platform. And then, software engineers (from a workforce of 26,000) work on the little parts remaining to complete the app (like how technicians fix a car's chassis, engine and wheels in a car assembly line), thereby leaving the repetitive work to AI and focusing on the creative parts that actually need human attention.
Engineer.ai is a human-assisted Artificial Intelligence (AI) that empowers everyone to build and operate software projects. Established in 2013 in San Francisco, the startup has a branch office in Gurgaon. "Four years ago, we started out with a dream to be the connection between every great idea and a fully realised product. The idea is to empower everyone to build their ideas; especially given that only 3 per cent of people are successful in taking an idea to a live product," says Sachin Dev Duggal, Co-founder & Chief Wizard of Engineer.ai, They looked at best practices across industries and landed on the magic Henry Ford did with his assembly line.